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eeg_create_and_submit_job.m
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eeg_create_and_submit_job.m
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function jobid = eeg_create_and_submit_job(dsnumber, filepath, memory, varargin)
path = ['/expanse/projects/nemar/openneuro/processed/logs/' dsnumber];
if ~exist(path, 'dir')
mkdir(path);
end
[~, filename, ~] = fileparts(filepath);
sbatchfile = fullfile(path, [filename '_sbatch']);
fid = fopen(sbatchfile, 'w');
fprintf(fid,'#!/bin/bash\n');
fprintf(fid,"#SBATCH -J %s\n", dsnumber);
fprintf(fid,"#SBATCH --partition=shared\n");
fprintf(fid,"#SBATCH --nodes=1\n");
fprintf(fid,"#SBATCH --mem=%dG\n", memory);
fprintf(fid,"#SBATCH -o %s/%s.out\n", path, filename);
fprintf(fid,"#SBATCH -e %s/%s.err\n", path, filename);
fprintf(fid,"#SBATCH -t 10:00:00\n");
fprintf(fid,"#SBATCH --account=csd403\n");
fprintf(fid,"#SBATCH --no-requeue\n");
fprintf(fid,"#SBATCH --cpus-per-task=8\n");
fprintf(fid,"#SBATCH --ntasks-per-node=1\n\n");
fprintf(fid,"cd /home/dtyoung/NEMAR-pipeline\n");
fprintf(fid,"module load matlab/2022b\n");
fprintf(fid,['matlab -nodisplay -r "check_dataset_custom_code(''%s''); which(''eeg_run_pipeline'');' ...
' eeg_run_pipeline(''%s'', ''%s'''], dsnumber, dsnumber, filepath);
% add optional arguments
if length(varargin) == 0
fprintf(fid, '); exit;"\n');
else
fprintf(fid, ',');
for i = 1:length(varargin)-1
if islogical(varargin{i}) || isnumeric(varargin{i})
fprintf(fid, '%d,', varargin{i});
elseif iscell(varargin{i})
fprintf(fid, '{');
cellcontent = varargin{i};
for c=1:numel(cellcontent)
fprintf(fid, '''%s'',', cellcontent{c});
end
fprintf(fid, '},');
else
fprintf(fid, '''%s'',', varargin{i});
end
end
if islogical(varargin{end}) || isnumeric(varargin{end})
fprintf(fid, '%d); exit;"\n', varargin{end});
else
fprintf(fid, '''%s''); exit;"\n', varargin{end});
end
end
fclose(fid);
[status, msg] = system(sprintf('sbatch %s', sbatchfile));
if status == 0
jobid = regexp(msg, '\d+', 'match');
if length(jobid) == 1
jobid = jobid{1};
else
jobid = "-1";
end
else
jobid = "-1";
end
end